Xiaoqian Jiang

Summary

Affiliation: Carnegie Mellon University
Country: USA

Publications

  1. pmc A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support
    Xiaoqian Jiang
    Division of Biomedical Informatics, University of California at San Diego, La Jolla, California 92093 0728, USA
    J Am Med Inform Assoc 19:e137-44. 2012
  2. pmc Preserving Institutional Privacy in Distributed binary Logistic Regression
    Yuan Wu
    Division of Biomedical Informatics, Department of Medicine University of California San Diego, La Jolla 92093, USA
    AMIA Annu Symp Proc 2012:1450-8. 2012
  3. pmc Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
    Yuan Wu
    Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 19:758-64. 2012
  4. pmc Selecting cases for whom additional tests can improve prognostication
    Xiaoqian Jiang
    Division of Biomedical Informatics, Department of Medicine University of California at San Diego, La Jolla, CA 92093, USA
    AMIA Annu Symp Proc 2012:1260-8. 2012
  5. pmc Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): an algorithm for joint optimization of discrimination and calibration
    Xiaoqian Jiang
    Division of Biomedical Informatics, University California San Diego UCSD, La Jolla, California, USA
    PLoS ONE 7:e48823. 2012
  6. pmc A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning
    Jialan Que
    University of California, La Jolla, CA, USA
    AMIA Annu Symp Proc 2012:1350-9. 2012
  7. pmc Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs
    Jihoon Kim
    Division of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA
    AMIA Annu Symp Proc 2011:723-31. 2011
  8. pmc Calibrating predictive model estimates to support personalized medicine
    Xiaoqian Jiang
    Division of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 19:263-74. 2012
  9. pmc iDASH: integrating data for analysis, anonymization, and sharing
    Lucila Ohno-Machado
    Division of Biomedical Informatics, University of California San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 19:196-201. 2012
  10. pmc Privacy technology to support data sharing for comparative effectiveness research: a systematic review
    Xiaoqian Jiang
    Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA 92093, USA
    Med Care 51:S58-65. 2013

Detail Information

Publications14

  1. pmc A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support
    Xiaoqian Jiang
    Division of Biomedical Informatics, University of California at San Diego, La Jolla, California 92093 0728, USA
    J Am Med Inform Assoc 19:e137-44. 2012
    ..The goal was to develop a patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support...
  2. pmc Preserving Institutional Privacy in Distributed binary Logistic Regression
    Yuan Wu
    Division of Biomedical Informatics, Department of Medicine University of California San Diego, La Jolla 92093, USA
    AMIA Annu Symp Proc 2012:1450-8. 2012
    ..We tested our method using both simulated and clinical data, showing how it is possible to protect the privacy of individuals and of institutions using a distributed strategy...
  3. pmc Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
    Yuan Wu
    Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 19:758-64. 2012
    ....
  4. pmc Selecting cases for whom additional tests can improve prognostication
    Xiaoqian Jiang
    Division of Biomedical Informatics, Department of Medicine University of California at San Diego, La Jolla, CA 92093, USA
    AMIA Annu Symp Proc 2012:1260-8. 2012
    ..The same is not true for some other groups...
  5. pmc Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): an algorithm for joint optimization of discrimination and calibration
    Xiaoqian Jiang
    Division of Biomedical Informatics, University California San Diego UCSD, La Jolla, California, USA
    PLoS ONE 7:e48823. 2012
    ..38, p=0.29, and p=0.047) and Logistic Regression (p=0.38, p=0.04, and p<0.0001). DOC-SVM produced a model that was better calibrated without sacrificing discrimination, and hence may be helpful in clinical decision making...
  6. pmc A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning
    Jialan Que
    University of California, La Jolla, CA, USA
    AMIA Annu Symp Proc 2012:1350-9. 2012
    ..We also provide a free web-service (http://privacy.ucsd.edu:8080/ppsvm/) for multiple participants to collaborate and complete the SVM-learning task in an efficient and privacy-preserving manner...
  7. pmc Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs
    Jihoon Kim
    Division of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA
    AMIA Annu Symp Proc 2011:723-31. 2011
    ..The difference in false negative rates on the independent test set was significant, P=1.6×10(-6). Our study suggests that utilization of integrated filtering strategies to facilitate the construction of classifiers can be helpful...
  8. pmc Calibrating predictive model estimates to support personalized medicine
    Xiaoqian Jiang
    Division of Biomedical Informatics, School of Medicine, University of California, San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 19:263-74. 2012
    ..Our goal is to develop a new calibration method to conserve as much information as possible, and would compare favorably to existing methods in terms of important performance measures: discrimination and calibration...
  9. pmc iDASH: integrating data for analysis, anonymization, and sharing
    Lucila Ohno-Machado
    Division of Biomedical Informatics, University of California San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 19:196-201. 2012
    ....
  10. pmc Privacy technology to support data sharing for comparative effectiveness research: a systematic review
    Xiaoqian Jiang
    Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA 92093, USA
    Med Care 51:S58-65. 2013
    ..These concerns have spurred the development of new technologies for privacy-preserving data sharing and data mining. Our goal is to review existing and emerging techniques that may be appropriate for data sharing related to CER...
  11. pmc EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning
    Shuang Wang
    Division of Biomedical Informatics, University of California, San Diego, La Jolla, San Diego, CA 92093 0728, USA
    J Biomed Inform 46:480-96. 2013
    ..The proposed EXPLORER supports asynchronized communication, which relieves the participants from coordinating with one another, and prevents service breakdown from the absence of participants or interrupted communications...
  12. pmc Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression
    Xiaoqian Jiang
    Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA, USA
    AMIA Annu Symp Proc 2011:625-34. 2011
    ..The method we propose, Pairwise Expanded Logistic Regression, improved discrimination and had higher accuracy when compared to existing methods in two imbalanced datasets, thus showing promise as a potential remedy for this problem...
  13. pmc I-spline Smoothing for Calibrating Predictive Models
    Yuan Wu
    Division of Biomedical Informatics, University of California at San Diego, La Jolla, California 92093
    AMIA Summits Transl Sci Proc 2012:39-46. 2012
    ..e.,1.6x, 1.4x, and 1.4x on the three datasets compared to the average of competitors-Binning, Platt Scaling, Isotonic Regression, Monotone Spline Smoothing, Smooth Isotonic Regression) without deterioration of discrimination...
  14. pmc Trends in biomedical informatics: most cited topics from recent years
    Hyeon eui Kim
    Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California 92093, USA
    J Am Med Inform Assoc 18:i166-70. 2011
    ..Results suggest that there is a positive association between free access and citation rate for JAMIA articles...